SETD3

mutation — cross-omics
Cross-omicsMUTATION → RNAPatientPairwise association · TCGA cohorts

Across TCGA patient cohorts, SETD3 mutation is significantly associated with the RNA expression of many other genes, with 945 significant associations in total. UCEC shows the largest number of these associations.

The most reproducible SETD3-associated genes across cancer lineages are LINC02304, SNRPCP18, and IL9. Each is linked with SETD3 in more than 1 cancer types. Because this analysis shows association rather than direction, both SETD3-to-partner and partner-to-SETD3 results are reported.

Each partner links to its own Q-omics profile. The box plot shows the strongest example, LINC02304 grouped by SETD3-low versus SETD3-high in SKCM.

mutation associated genes by consensus

Ranked by combined sampling and lineage consensus. X-score (SETD3→partner) and Y-score (partner→SETD3) are standardized regression coefficients; both directions are reported because the association is undirected. p-values are from the association test.
LineagePartner geneX-scoreY-scorep(X)p(Y)Sampling consensusLineage consensus
SKCMLINC02304 →+0.052+4.165<.001<.00132
SKCMSNRPCP18 →+0.038+3.624<.001.00232
COADIL9 →+0.155+3.769<.001.00232
COADLSP1P3 →+0.739+4.207<.001.00132
UCECEML2-AS1 →+0.067+1.592<.001.00632
LUADSNORD115-35 →+0.598+7.930<.001.00832
Each partner links to its Q-omics profile. Showing the 6 strongest of 945 associations by consensus.

LINC02304 by SETD3 expression — SKCM

Box plot of LINC02304 in SETD3-low vs SETD3-high samples in SKCM.

Explore this box plot interactively →

Exploration